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This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (2067) Machine Learning (2225) Artificial Intelligence (2341) Natural Language Processing (953) Decision Support for Health Professionals (1635) Neurology and Neurosciences (302) Hypertension Prevention and Treatment (314)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66055, first published .
Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation

Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation

Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation

Authors of this article:

Yulong Xia1 Author Orcid Image ;   Jie Li2 Author Orcid Image ;   Bo Deng1 Author Orcid Image ;   Qilin Huang2 Author Orcid Image ;   Fenglin Cai2 Author Orcid Image ;   Yanfeng Xie1 Author Orcid Image ;   Xiaochuan Sun1 Author Orcid Image ;   Quanhong Shi1 Author Orcid Image ;   Wei Dan1 Author Orcid Image ;   Yan Zhan1 Author Orcid Image ;   Li Jiang1 Author Orcid Image
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Journals

  1. Gao Q, Jin Y, Sun Y, Jin M, Tang L, Chen Y, She Y, Li M. Transforming Intracerebral Hemorrhage Care with Artificial Intelligence: Opportunities, Challenges, and Future Directions. Diagnostics 2026;16(5):752 View